• DocumentCode
    1528834
  • Title

    Some queries on “Comments on `Approximation capability in C(R¯n) by multilayer feedforward networks and related problems´”

  • Author

    Chen, Tianping

  • Author_Institution
    Dept. of Math., Fudan Univ., Shanghai, China
  • Volume
    12
  • Issue
    5
  • fYear
    2001
  • fDate
    9/1/2001 12:00:00 AM
  • Firstpage
    1262
  • Lastpage
    1263
  • Abstract
    In the comments letter by Huang et al. (ibid. vol.9 (1998)) the authors claimed that the boundedness of a sigmoidal function σ(x) is neither sufficient nor necessary condition for the validity of the approximation theorem discussed in our original paper (ibid. vol.6 (1995)). In this paper, we show that this claim is incorrect
  • Keywords
    feedforward neural nets; function approximation; boundedness; feedforward neural networks; function approximation; multilayer neural networks; necessary condition; sigmoidal function; sufficient condition; Equations; Network address translation; Neural networks; Neurons; Nonhomogeneous media; Quantization; Stability; State-space methods; Statistics; Testing;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/72.950157
  • Filename
    950157